Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Reactive aggressive children experience social encoding and interpretation difficulties. Such deficits increase the likelihood that reactive aggressive children perceive the actions of others as provocative and respond in an aggressive manner. Errorless priming was developed as a proactive and success-focused treatment for an 8-year-old boy demonstrating severe reactive aggression (RA). Observations of the child revealed several antecedents that immediately preceded his aggression. This information enabled prediction of aggressive outbursts and development of an intervention that involved providing the child with preparatory information (i.e., priming statements) to moderate his reaction to upcoming stressors. As is characteristic of errorless approaches, a graduated hierarchy was used to systematically fade priming statements. Following treatment, the child was able to tolerate, without problem behavior, antecedent conditions that he found challenging prior to treatment. Errorless priming may have broad potential as a brief and time-efficient intervention for RA.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it